A novel RNA binding protein-associated prognostic model to predict overall survival in hepatocellular carcinoma patients.

ABSTRACT:

Abstract

Hepatocellular carcinoma (HCC) is 1 of the deadliest malignancies worldwide. Despite significant advances in diagnosis and treatment, the mortality rate from HCC persists at a substantial level. Construction of a prognostic model that can reliably predict HCC patients' overall survival is urgently needed.Two RNA-seq dataset (the Cancer Genome Atlas and International Cancer Genome Consortium) and 1 microarray dataset (GSE14520) were included in our study. RNA-binding proteins (RBPs) in HCC patients was examined by differentially expressed genes analysis, functional enrichment analysis and protein-protein interaction network analysis. Subsequently, the Cancer Genome Atlas dataset was randomly divided into training and testing cohort with a prognostic model developed in the t

SUBMITTER: Liu Y 

PROVIDER: S-EPMC8294901 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature